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Title:
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TWITTER USERS CREDIBLITY EVALUATION BASED ON SOCIAL GRAPH IMPRESSION |
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Author(s):
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Hamda Slimi, Ibrahim Bounhas and Yahya Slimani |
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ISBN:
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978-989-8533-95-1 |
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Editors:
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Hans Weghorn |
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Year:
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2019 |
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Edition:
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Single |
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Keywords:
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Information Credibility, Source Credibility, Twitter, Url Score, Social Network |
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Type:
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Full Paper |
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First Page:
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11 |
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Last Page:
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18 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In the era of social media, information became abundant, versatile and easily accessible. Such characteristics enable almost
anyone to publish and share their opinion about a variety of subjects. Such freedom comes at a cost since information and
source credibility are in jeopardy. Therefore, numerous solutions were proposed to evaluate source credibility. In this paper,
we review previous efforts on twitter credibility evaluation. We also propose an approach that relies on the impression of
user social network on his tweets to determine his credibility. Furthermore, we incorporate a feature that determines the
credibility of the URLs shared by the user through his tweets. The evaluation of our approach has shown it outperforms the
baseline in both precision and recall. |
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